摘要:提出基于人工智能的信道状态信息压缩技术方案,并全面思考了模型训练、模型管理中的标准制定、实际应用等相关问题,分析了不同问题的潜在解决方案。仿真结果表明,所提出的方案可有效提升信道状态信息反馈精度,网络容量平均提升10%左右。
关键词:人工智能;多入多出;信道状态信息
Abstract: A channel state information compression technology scheme leveraging artificial intelligence is proposed. Standard formulation, practical application, and the other related problems and solutions have been comprehensively analyzed and considered. The simulation results show that the proposed scheme can effectively improve the accuracy of channel state information feedback, resulting in an average increase of approximately 10% in network capacity.
Keywords: artificial intelligence; multiple-input multiple-output; channel state information